The last decade has seen a substantial increase in commodity computer and network performance. Increasingly, computing addresses collaboration, cycle and data sharing and other modes of interaction involving distributed resources. Grid computing is an emerging technology that enables large-scale sharing of widely distributed resources and coordinated problem-solving and collaboration between groups of scientists.Riding on the success of the first two workshops, this year's workshop continues the tradition of providing a useful forum for discussion among researchers, developers and users of grid computing from academia, business and industry. This volume is a collection of the international contributions presented at the workshop, with a focus on grid computing and its applications in science and engineering.

The last decade has seen a substantial increase in commodity computer and network performance. Increasingly, computing addresses collaboration, cycle and data sharing and other modes of interaction involving distributed resources. Grid computing is an emerging technology that enables large-scale sharing of widely distributed resources and coordinated problem-solving and collaboration between groups of scientists. Riding on the success of the first two workshops, this yearOCOs workshop continues the tradition of providing a useful forum for discussion among researchers, developers and users of grid computing from academia, business and industry. This volume is a collection of the international contributions presented at the workshop, with a focus on grid computing and its applications in science and engineering."

This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented. The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.

"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.

Grid architectures, which are viewed as tools for the integration of distributed resources, play a significant role as managers of computational resources, but also as aggregators of measurement instrumentation and pervasive large-scale data acquisition platforms. The functionality of a grid architecture allows managing, maintaining, and exploiting hetereogeneous instrumentation and acquisition devices in a unifed way by providing standardized interfaces and common work environments to their users. This result is achieved through the properties of isolation from the physical network and from the peculiarites of the instrumentation granted by standard middleware together with secure and flexibile mechanisms which seek, access, and aggregate distributed resources. This book focuses on a number of aspects related to the effective exploitation of remote instrumentation on the grid. These include middleware architecture, high speed networking in support of grid applications, wireless grid for acquisition devices and sensor networks, quality of service provisioning for real time control, and measurement instrumentation.

The recent emergence and prevalence of social network applications, sensor equipped mobile devices, and the availability of large amounts of geo-referenced data have enabled the analysis of new context dimensions that involve individual, social, and urban context. Creating Personal, Social, and Urban Awareness through Pervasive Computing provides an overview of the theories, techniques, and practical applications related to the three dimensions of context awareness. Through the exploration of emerging research trends of pervasive computing, this book is beneficial to professors, students, researchers, and developers interested this latest development in the field of context-awareness and pervasive computing.

This book constitutes the refereed proceedings of the Third International Conference on High Performance Computing and Communications, HPCC 2007, held in Houston, USA, September 26-28, 2007. The 75 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers address all current issues of parallel and distributed systems and high performance computing and communication as there are: networking protocols, routing, and algorithms, languages and compilers for HPC, parallel and distributed architectures and algorithms, embedded systems, wireless, mobile and pervasive computing, Web services and internet computing, peer-to-peer computing, grid and cluster computing, reliability, fault-tolerance, and security, performance evaluation and measurement, tools and environments for software development, distributed systems and applications, database applications and data mining, biological/molecular computing, collaborative and cooperative environments, and programming interfaces for parallel systems.